Heuristic implementation of Video testing through automation and rendering solution of Logo identification, text verification from video, and also endow video files comparison with frame by frame report. The solution is applicable with various video related automation testing. But video testing not only supports the comparison feature alone. It also covers the following configurable features like full reference comparison, without reference comparison, frame syncing, threshold for number of mismatch frames, Image matching algorithm, frame matching algorithm, etc.
The two categorizations of Video Quality testing are Subjective and Objective. By the Subjective way, the testing is done by the actual users who validate and certify the quality of the video by playing multiple video clips. And they have a scaling system to provide the rating by quality. Though it is accurate, it is a very tedious manual effort, and not a highly repeatable process.
Alternatively, in an objective case, it considers various image attributes such as luminous, chrominance, edge sharpness, and temporal changes, etc. By using and comprising these image attributes, an algorithm assesses the video sequences by interlinking these attributes and providing the quality of video in a data format. In this way, we must consider that alignment errors will not be added as an error of the Video quality of the video source. This type of testing is repeatable with video scoring.